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Job Description AWAITING FINAL AWARD* At Nyla, we are proud to deliver solutions that make a real impact! We’re seeking an experienced, visionary Machine Learning Engineers to orchestrate and optimize complex machine learning workloads at a fundamental level. In this role, you will handle complex prompt engineering, LangGraph multi-agent orchestration, and structure automated Agent Test and Evaluation (T&E) harnesses. You’ll design and implement infrastructure for training, validating, and deploying large-scale machine learning models into production while managing model lifecycles within isolated data sandboxes using MLflow. You will be building "enterprise capabilities" within the Department of War's authoritative data analytics platform (War Data Platform) for the Chief Digital and AI Officer (DoW CDAO). If you are passionate about AI innovation, establishing statistical verification gates, and pushing technology boundaries, we’d love to connect! Key Responsibilities Design and implement infrastructure for training, validating, and deploying large-scale machine learning models into production. Develop advanced prompt engineering frameworks and multi-agent systems via LangGraph to support automated analytical tasks. Manage model lifecycles within isolated data sandboxes using MLflow, establishing bias mitigation and statistical verification gates. The annual base salary range for this role is $150,000-$200,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. , Required Skills Frameworks & Orchestration: Expertise in LangGraph multi-agent orchestration and building automated Agent Test and Evaluation (T&E) harnesses. MLOps & Lifecycle Management: Hands-on experience with MLflow for tracking, managing model lifecycles, and managing isolated data sandboxes. Advanced Machine Learning: Demonstrated proficiency in Python, Databricks Notebooks, and advanced prompt engineering frameworks. Quality & Validation: Experience establishing bias mitigation, statistical verification gates, and deploying large-scale models into production. Clearance: Active Top Secret, SCI Eligible Experience: 4+ years of professional experience in machine learning, MLOps, or data science. Education: Bachelor’s Degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Work Location: Arlington County, VA (Hybrid) , Desired Skills Collaborative leader with a drive for innovation and technical excellence. Strong problem-solving abilities focused on continuous optimization and bias mitigation. Passion for delivering impactful, reliable AI solutions across complex enterprise environments. , About Nyla Technology Solutions Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done. If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla’s team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract* (over 40 hrs/week). There’s even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That’s up to 240 hours of leave plus 11 holidays! That’s not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla’s health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place. To learn more about Nyla's culture and our exceptional benefit packages click here. Nyla is an equal opportunity employer.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.